yolos-base-fashionpedia-finetuned-v1-1-1

This model is a fine-tuned version of hustvl/yolos-base on an unknown dataset. It achieves the following results on the evaluation set:

• Fps: 4.49
• Loss: 2.1255
• Map: 0.0352
• Map 50: 0.0687
• Map 75: 0.0326
• Map Small: 0.0077
• Map Medium: 0.033
• Map Large: 0.0567
• Mar 1: 0.0787
• Mar 10: 0.1163
• Mar 100: 0.1176
• Mar Small: 0.0277
• Mar Medium: 0.1128
• Mar Large: 0.173
• Map Shirt, blouse: 0.015
• Mar 100 Shirt, blouse: 0.0676
• Map Top, t-shirt, sweatshirt: 0.0793
• Mar 100 Top, t-shirt, sweatshirt: 0.4699
• Map Sweater: 0.0
• Mar 100 Sweater: 0.0
• Map Cardigan: 0.0
• Mar 100 Cardigan: 0.0
• Map Jacket: 0.2198
• Mar 100 Jacket: 0.5317
• Map Vest: 0.0
• Mar 100 Vest: 0.0
• Map Pants: 0.2399
• Mar 100 Pants: 0.6105
• Map Shorts: 0.0498
• Mar 100 Shorts: 0.1733
• Map Skirt: 0.111
• Mar 100 Skirt: 0.5385
• Map Coat: 0.0399
• Mar 100 Coat: 0.2125
• Map Dress: 0.3453
• Mar 100 Dress: 0.7333
• Map Jumpsuit: 0.0
• Mar 100 Jumpsuit: 0.0
• Map Cape: 0.0
• Mar 100 Cape: 0.0
• Map Glasses: 0.0003
• Mar 100 Glasses: 0.0592
• Map Hat: 0.0082
• Mar 100 Hat: 0.0486
• Map Headband, head covering, hair accessory: 0.0
• Mar 100 Headband, head covering, hair accessory: 0.0092
• Map Tie: 0.0
• Mar 100 Tie: 0.0
• Map Glove: 0.0
• Mar 100 Glove: 0.0
• Map Watch: 0.0065
• Mar 100 Watch: 0.0663
• Map Belt: 0.0214
• Mar 100 Belt: 0.1512
• Map Leg warmer: 0.0
• Mar 100 Leg warmer: 0.0
• Map Tights, stockings: 0.0123
• Mar 100 Tights, stockings: 0.1992
• Map Sock: 0.0004
• Mar 100 Sock: 0.0057
• Map Shoe: 0.1975
• Mar 100 Shoe: 0.3943
• Map Bag, wallet: 0.0492
• Mar 100 Bag, wallet: 0.2617
• Map Scarf: 0.0
• Mar 100 Scarf: 0.0
• Map Umbrella: 0.0
• Mar 100 Umbrella: 0.0
• Map Hood: 0.0
• Mar 100 Hood: 0.0
• Map Collar: 0.0191
• Mar 100 Collar: 0.1028
• Map Lapel: 0.0165
• Mar 100 Lapel: 0.1437
• Map Epaulette: 0.0
• Mar 100 Epaulette: 0.0
• Map Sleeve: 0.1499
• Mar 100 Sleeve: 0.3589
• Map Pocket: 0.0002
• Mar 100 Pocket: 0.0348
• Map Neckline: 0.0384
• Mar 100 Neckline: 0.1959
• Map Buckle: 0.0002
• Mar 100 Buckle: 0.006
• Map Zipper: 0.0007
• Mar 100 Zipper: 0.0124
• Map Applique: 0.0
• Mar 100 Applique: 0.0
• Map Bead: 0.0
• Mar 100 Bead: 0.0178
• Map Bow: 0.0
• Mar 100 Bow: 0.0
• Map Flower: 0.0
• Mar 100 Flower: 0.0
• Map Fringe: 0.0
• Mar 100 Fringe: 0.0
• Map Ribbon: 0.0
• Mar 100 Ribbon: 0.0
• Map Rivet: 0.0
• Mar 100 Rivet: 0.0
• Map Ruffle: 0.0001
• Mar 100 Ruffle: 0.0039
• Map Sequin: 0.0
• Mar 100 Sequin: 0.0
• Map Tassel: 0.0
• Mar 100 Tassel: 0.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Fps	Validation Loss	Map	Map 50	Map 75	Map Small	Map Medium	Map Large	Mar 1	Mar 10	Mar 100	Mar Small	Mar Medium	Mar Large	Map Shirt, blouse	Mar 100 Shirt, blouse	Map Top, t-shirt, sweatshirt	Mar 100 Top, t-shirt, sweatshirt	Map Sweater	Mar 100 Sweater	Map Cardigan	Mar 100 Cardigan	Map Jacket	Mar 100 Jacket	Map Vest	Mar 100 Vest	Map Pants	Mar 100 Pants	Map Shorts	Mar 100 Shorts	Map Skirt	Mar 100 Skirt	Map Coat	Mar 100 Coat	Map Dress	Mar 100 Dress	Map Jumpsuit	Mar 100 Jumpsuit	Map Cape	Mar 100 Cape	Map Glasses	Mar 100 Glasses	Map Hat	Mar 100 Hat	Map Headband, head covering, hair accessory	Mar 100 Headband, head covering, hair accessory	Map Tie	Mar 100 Tie	Map Glove	Mar 100 Glove	Map Watch	Mar 100 Watch	Map Belt	Mar 100 Belt	Map Leg warmer	Mar 100 Leg warmer	Map Tights, stockings	Mar 100 Tights, stockings	Map Sock	Mar 100 Sock	Map Shoe	Mar 100 Shoe	Map Bag, wallet	Mar 100 Bag, wallet	Map Scarf	Mar 100 Scarf	Map Umbrella	Mar 100 Umbrella	Map Hood	Mar 100 Hood	Map Collar	Mar 100 Collar	Map Lapel	Mar 100 Lapel	Map Epaulette	Mar 100 Epaulette	Map Sleeve	Mar 100 Sleeve	Map Pocket	Mar 100 Pocket	Map Neckline	Mar 100 Neckline	Map Buckle	Mar 100 Buckle	Map Zipper	Mar 100 Zipper	Map Applique	Mar 100 Applique	Map Bead	Mar 100 Bead	Map Bow	Mar 100 Bow	Map Flower	Mar 100 Flower	Map Fringe	Mar 100 Fringe	Map Ribbon	Mar 100 Ribbon	Map Rivet	Mar 100 Rivet	Map Ruffle	Mar 100 Ruffle	Map Sequin	Mar 100 Sequin	Map Tassel	Mar 100 Tassel
3.0122	0.0438	500	4.54	2.7800	0.0107	0.026	0.0073	0.0022	0.0101	0.0146	0.0415	0.0679	0.0698	0.01	0.0543	0.1121	0.0009	0.0078	0.0355	0.3571	0.0	0.0	0.0	0.0	0.0589	0.4721	0.0	0.0	0.0643	0.4427	0.0017	0.0105	0.0419	0.3509	0.0023	0.0067	0.1318	0.6898	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0005	0.0036	0.001	0.0104	0.0	0.0	0.001	0.0525	0.0	0.0	0.0918	0.2552	0.0311	0.2421	0.0	0.0	0.0	0.0	0.0	0.0	0.0001	0.0028	0.0	0.0	0.0	0.0	0.0277	0.228	0.0	0.0095	0.0039	0.0706	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2.7669	0.0877	1000	4.49	2.4470	0.0179	0.0441	0.0122	0.0048	0.0183	0.0293	0.051	0.0805	0.0816	0.0143	0.0715	0.1241	0.0137	0.1186	0.0439	0.3983	0.0	0.0	0.0	0.0	0.1235	0.3574	0.0	0.0	0.1387	0.5096	0.0124	0.0971	0.0495	0.4217	0.01	0.0913	0.2115	0.613	0.0	0.0	0.0	0.0	0.0001	0.0169	0.0001	0.0054	0.0	0.0	0.0	0.0	0.0	0.0	0.0007	0.0386	0.0042	0.0799	0.0	0.0	0.0025	0.0352	0.0	0.0	0.0923	0.2566	0.0112	0.129	0.0	0.0	0.0	0.0	0.0	0.0	0.0124	0.0546	0.0206	0.1052	0.0	0.0	0.057	0.2756	0.0002	0.0177	0.0198	0.1284	0.0	0.0	0.0	0.0015	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2.4093	0.1315	1500	4.49	2.2318	0.0322	0.0677	0.0277	0.008	0.0295	0.0472	0.0661	0.0972	0.0983	0.025	0.0954	0.1488	0.0132	0.0314	0.0763	0.4501	0.0	0.0	0.0	0.0	0.1627	0.3836	0.0	0.0	0.2326	0.5583	0.0336	0.0952	0.0874	0.4286	0.0586	0.0865	0.3621	0.703	0.0	0.0	0.0	0.0	0.0003	0.0477	0.0011	0.0081	0.0	0.0128	0.0	0.0	0.0	0.0	0.0041	0.0482	0.0145	0.1146	0.0	0.0	0.007	0.1492	0.0	0.0057	0.1929	0.3957	0.0444	0.2472	0.0	0.0	0.0	0.0	0.0	0.0	0.0143	0.0725	0.0247	0.1252	0.0	0.0	0.1156	0.3214	0.0007	0.0374	0.0314	0.1748	0.0002	0.003	0.0011	0.0067	0.0	0.0	0.0	0.0103	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0005	0.0066	0.0	0.0	0.0	0.0
2.3651	0.1753	2000	4.49	2.1255	0.0352	0.0687	0.0326	0.0077	0.033	0.0567	0.0787	0.1163	0.1176	0.0277	0.1128	0.173	0.015	0.0676	0.0793	0.4699	0.0	0.0	0.0	0.0	0.2198	0.5317	0.0	0.0	0.2399	0.6105	0.0498	0.1733	0.111	0.5385	0.0399	0.2125	0.3453	0.7333	0.0	0.0	0.0	0.0	0.0003	0.0592	0.0082	0.0486	0.0	0.0092	0.0	0.0	0.0	0.0	0.0065	0.0663	0.0214	0.1512	0.0	0.0	0.0123	0.1992	0.0004	0.0057	0.1975	0.3943	0.0492	0.2617	0.0	0.0	0.0	0.0	0.0	0.0	0.0191	0.1028	0.0165	0.1437	0.0	0.0	0.1499	0.3589	0.0002	0.0348	0.0384	0.1959	0.0002	0.006	0.0007	0.0124	0.0	0.0	0.0	0.0178	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0001	0.0039	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.44.2
• Pytorch 2.6.0+cu124
• Datasets 2.21.0
• Tokenizers 0.19.1